Channel
@hwhrbg
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
21,870subscribers
-13,271 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002118462570 |
|---|---|
| Type | Channel |
| Username | @hwhrbg |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/hwhrbg |
International news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 38% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 10:20 | 21,870 | -90 |
| 15 Sept 2026, 09:18 | 21,960 | -30 |
| 13 Sept 2026, 21:21 | 21,990 | -68 |
| 12 Sept 2026, 02:18 | 22,058 | -92 |
| 9 Sept 2026, 19:42 | 22,150 | -98 |
| 6 Sept 2026, 14:39 | 22,248 | -47 |
| 4 Sept 2026, 06:40 | 22,295 | -81 |
| 2 Sept 2026, 18:15 | 22,376 | -35 |
| 1 Sept 2026, 19:14 | 22,411 | -214 |
| 31 Aug 2026, 19:34 | 22,625 | -254 |
| 30 Aug 2026, 22:16 | 22,879 | -64 |
| 29 Aug 2026, 21:54 | 22,943 | -34 |
| 28 Aug 2026, 21:14 | 22,977 | -27 |
| 28 Aug 2026, 00:45 | 23,004 | -1,117 |
| 26 Aug 2026, 23:44 | 24,121 | -1,822 |
| 26 Aug 2026, 01:08 | 25,943 | -125 |
| 25 Aug 2026, 03:03 | 26,068 | -84 |
| 23 Aug 2026, 17:52 | 26,152 | -62 |
| 22 Aug 2026, 01:43 | 26,214 | -7,236 |
| 20 Aug 2026, 15:44 | 33,450 | first reading |
258 posts held, back to 12 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 43 pages of Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 3 of 181 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 258 (12 August 2026 – 3 September 2026) |
| Views total | 109,276 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 12:14 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Measured directly from 62 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
3 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 100.0% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 6 of the 258 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 258 most recent posts we hold, published 12 August 2026 to 3 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
#老挝资讯：乌多姆赛省捣毁3处涉赌诈窝点，抓获52名嫌疑人（含25名中国籍） 老挝媒体9月2日报道：8月25日至27日，乌多姆赛省公安厅联合属地县公安力量，对孟昏县、巴本县的3处窝点同步开展收网行动，抓获52名涉嫌网赌电诈的涉案人员。 涉案人员来自6个国家：中国籍25人、越南籍17人、老挝籍7人，马来西亚、缅甸、土耳其籍各1人。 现场查获台式电脑27台、笔记本电脑1台、手机21部以及3套星链（Starlink）卫星网络设备。 警方调查显示，该团伙此前在博胶省金三角经济特区活动，8月初分批转移至乌多姆赛省。部分人员从会晒乘船沿湄公河南下抵达巴本县，再转车前往洪县藏匿。 团伙在洪县纳洪村租下16间房屋，月租金约1亿基普（约合4450美元）。该团伙共有5名头目，负责人员调度、交通、住宿及生活安排，分别为中国籍陈贵、李义、李杰、钟建勇与土耳其籍陈高勇。（姓名均为音译） 窝点8月17日启用，仅8天，8月25日便被警方突击查处。…
#网友投稿：这段时间，缅甸“小勐拉”又抓了300-400人，都是悄悄抓捕，我朋友在勐拉失踪了四天，我托人去警察局问才知道抓起来了，前两天人已经送回中国了。 这些被抓的都是从老挝和柬埔寨回流缅甸的，抓捕都是针对性的抓，抓完以后直接国门移交。
金边公寓内一女子身亡 今天凌晨，位于金边堆谷区一公寓发生死亡事件，一名女子被人发现死在该公寓的一个房间内。 该女子死因蹊跷，事发后警方已经介入调查。不过，也有媒体报道称，女子是死于心脏病突发。
柬埔寨反诈清剿后人员被指大规模外迁，逾万人转往缅甸继续参与电诈 据《南华早报》援引反人口贩运组织人士消息，随着柬埔寨近期持续清剿大型电诈园区，部分涉诈人员及相关网络开始向周边国家转移。 相关机构估计，约有1万至2万名外国人从柬埔寨进入缅甸，并继续参与网络诈骗活动。 报道同时指出，目前缅甸境内部分电诈园区仍有大量外国人滞留或被困。 反人口贩运组织估计，其中至少有1.37万人来自印度、埃塞俄比亚等多个国家，部分人员被指曾从柬埔寨转移，甚至经历再次转卖。 除缅甸外，调查人员还注意到部分诈骗团伙开始向印度尼西亚、斯里兰卡等地重新布局。 相关情况显示，区域反诈行动虽然压缩了部分大型园区空间，但电诈网络正呈现跨境转移、据点分散化的新趋势。 PS：难怪金三角打击力度越来越大，原来是人越来越多了
上万人从柬转移至缅甸继续从事电诈 据《南华早报》援引反人口贩运组织人士消息，柬埔寨近期大规模清剿电诈后，约1万至2万名外国人从柬埔寨转移至缅甸，继续从事网络诈骗活动。 相关组织估计，目前缅甸电诈园区内仍有超过1.37万人被困，包括印度、埃塞俄比亚等国人员，其中一些人被指从柬埔寨转移甚至再次转卖至缅甸。与此同时，电诈团伙也开始向印度尼西亚、斯里兰卡等地转移。
#马来西亚资讯：古晋捣毁网恋诈骗窝点 8人落网专骗海外受害者 9月1日晚约11时，马来西亚砂拉越州古晋宋路一处公寓遭警方突袭，一个长期从事网络网恋诈骗的窝点被捣毁，8名嫌疑人被捕。 被捕的8人年龄介于21至26岁，包括2名马来西亚男子、1名马来西亚女子和5名外国男子。警方同时查获多台笔记本电脑、手机及其他电子设备。这批人员长期在公寓内从事网恋诈骗，主要寻找马来西亚境外受害者下手。 9月2日，8人被带往古晋推事法院，法院批准延扣4天。案件涉及诈骗及刑事共谋，警方继续调查这个诈骗团伙的具体运作情况。
🇻🇳 越南出台严规规范加密资产市场 违规最高罚款2亿盾并没收所得 据越南媒体报道，越南自8月1日起实施第284/2026号法令，对加密资产领域的违规行为处以数千美元罚款。机构最高可被罚2亿越南盾（约7671美元），个人最高可被罚1亿越南盾。 法令明确，未经许可收集、存储或传播加密资产账户数据，以及未落实反洗钱和反恐融资审查（如未核验客户身份）等行为将面临高额罚款。重度违规者还将被暂停交易或暂停服务最高12个月、吊销执照并没收非法所得。
柬埔寨称扫诈见效 小团伙涌现 9月2日，柬埔寨当局称已拆除国内多处大规模诈骗园区，但小规模、分散的诈骗团伙在城市地区出现，显示行业在调整作案方式。 本周，金边一处疑似网络诈骗窝点遭突袭，逮捕18名孟加拉国人；西港周二在3栋公寓突击行动中逮捕10名中国人并缴获120余台电子设备，其中4人被怀疑参与网络诈骗；国公省七星海周末的行动中拘留34名嫌疑人并缴获数百台电子设备。 反诈骗委员会称，过去一年已清查600多个与诈骗相关地点，拘留近3万名来自39个国籍的嫌疑人；自2025年7月以来已冻结超过3亿美元诈骗资金并立案调查440多起。 反诈骗委员会负责人蔡西那烈表示，诈骗集团正转向客栈、公寓、车辆和咖啡馆等更小、更分散的作案地点。 哈佛大学访问学者、东南亚跨国犯罪专家雅各布·西姆斯指出，关闭实体园区并不等同于彻底瓦解支持产业的网络，现有证据更倾向于“扰乱与适应”而非全面摧毁。
❤1
#柬埔寨资讯：遣返122名涉嫌非法居留及网络诈骗的中国公民 9月2日，根据柬埔寨内政部领导的指示，移民总局近日在德乔国际机场开展执法行动，通过专机将122名中国公民遣返回国，其中包括3名女性。 据移民总局消息人士透露，这些人员涉嫌在柬埔寨非法居留、无证工作及参与网络诈骗活动。 关注大事件频道➡️ @Svip 投稿：@tx188
🇲🇲 缅甸诈骗大王获刑43年 缅甸一桩涉案金额达数百亿缅币的特大金融诈骗案日前宣判。诈骗头目“尼尼绥博士”因打着外汇及股票投资旗号、承诺15%月收益疯狂吸金，被法院以经济犯罪判处43年监禁，名下资产全部收归国有。 该案波及仰光、曼德勒等多地民众，受害者涵盖普通百姓、难民乃至出资投资的寺院僧侣。因罪犯资产已被国家没收，成千上万受害者的积蓄与香火钱恐面临无法追回的绝境。
#网友投稿：金三角特区孟赛物业今天半夜被突袭是因为有人举报 地址在鑫城对面【图1】，原唐人国际4幢老板，大金主，大表哥，原名：李志勤，2024年，大表哥”曾出资购买唐人国际2栋，并参与建设老缅新村对面的明丰大厦、众合公寓。 重点来了：金三角特区正在实行相关禁令和清理行动，但据爆料，其旗下部分业务仍未完全停止，目前仍有泰国精聊、缅甸精聊、商城刷单等项目运作。 办公地点据称在新城红楼对面1号楼酒店公寓12楼、16楼部分房间，以及特区外也存在其他办公据点。 PS：听说是因为纠纷，然后就被举报了， 地址位置都标记出来了！下午的事情！
#群友反馈：西港亚洲国际有处地点不知道什么情况，警察正在抓人，在附近的注意了。
Showing the 12 most recent of 258 posts we hold for @hwhrbg. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 17 September 2026 — this entry's latest reading, not the date you are reading this.
“海外华人曝光” (@hwhrbg), 21,870 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/hwhrbg.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.